Instructions to use PaddlePaddle/PP-OCRv4_server_rec_doc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PaddleOCR
How to use PaddlePaddle/PP-OCRv4_server_rec_doc with PaddleOCR:
# 1. See https://www.paddlepaddle.org.cn/en/install to install paddlepaddle # 2. pip install paddleocr from paddleocr import TextRecognition model = TextRecognition(model_name="PP-OCRv4_server_rec_doc") output = model.predict(input="path/to/image.png", batch_size=1) for res in output: res.print() res.save_to_img(save_path="./output/") res.save_to_json(save_path="./output/res.json") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7eca954383b6d19ee70821072d7bbe7e23fd478168a924adc3839f5c6f805dec
- Size of remote file:
- 94.8 MB
- SHA256:
- 4ad3cf3f353ae3353515266c5e96ef49e9de27dd6cbe413b0234192384203bab
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.